Literature DB >> 33686803

Fluorescent nanotechnology for in vivo imaging.

Zhengyuan Guo1,2, Zongqiang Cui1.   

Abstract

Fluorescent imaging in living animals gives an intuitive picture of the dynamic processes in the complex environment within a living being. However, animal tissues present a substantial barrier and are opaque to most wavelengths of visible light. Fluorescent nanoparticles (NPs) with new photophysical characteristics have shown excellent performance for in vivo imaging. Hence, fluorescent NPs have been widely studied and applied for the detection of molecular and biological processes in living animals. In addition, developments in the area of nanotechnology have allowed materials to be used in intact animals for disease detection, diagnosis, drug delivery, and treatment. This review provides information on the different types of fluorescent particles based on nanotechnology, describing their unique individual properties and applications for detecting vital processes in vivo. The development and application of new fluorescent NPs will provide opportunities for in vivo imaging with better penetration, sensitivity, and resolution. This article is categorized under: Diagnostic Tools > in vivo Nanodiagnostics and Imaging.
© 2021 Wiley Periodicals LLC.

Keywords:  fluorescent material; in vivo imaging; multimodality imaging; nanotechnology

Year:  2021        PMID: 33686803     DOI: 10.1002/wnan.1705

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol        ISSN: 1939-0041


  4 in total

1.  Multimodal Gold Nanostars as SERS Tags for Optically-Driven Doxorubicin Release Study in Cancer Cells.

Authors:  Luca Minati; Devid Maniglio; Filippo Benetti; Andrea Chiappini; Giorgio Speranza
Journal:  Materials (Basel)       Date:  2021-11-28       Impact factor: 3.623

Review 2.  Functional Nanomaterials in Biomedicine: Current Uses and Potential Applications.

Authors:  Ana María Diez-Pascual; Abbas Rahdar
Journal:  ChemMedChem       Date:  2022-07-08       Impact factor: 3.540

Review 3.  Upconversion Nanomaterials in Bioimaging and Biosensor Applications and Their Biological Response.

Authors:  Zayakhuu Gerelkhuu; Yong-Ill Lee; Tae Hyun Yoon
Journal:  Nanomaterials (Basel)       Date:  2022-10-04       Impact factor: 5.719

4.  COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image segmentation.

Authors:  XiaoQing Zhang; GuangYu Wang; Shu-Guang Zhao
Journal:  Int J Imaging Syst Technol       Date:  2021-06-04       Impact factor: 2.177

  4 in total

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